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Deriving actionable insights from User Behavior Data in Product Management 📊
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Do you use user behavior data to guide your decision-making?
Here are the most common problems I see:
1. We spend a lot of time staring at data that isn’t actionable. Revenue has dipped. So what?
3. We’re looking at all the reports we’re supposed to (user activation, retention) but we don’t know how to interpret the data. Is this good, or bad? What action should we take next?
In this 4-video series, I’ll outline four common metrics or charts I use in my day-to-day work, and how I derive actionable insights from them. I’ll also give you a little peek into the product analytics tech stack I use for B2B startups.
Video 1. User or account-level activation (this video!)
Video 2. Detailed onboarding funnels
Video 3. User or account-level retention
Video 4. Feature adoption and retention
Here are the most common problems I see:
1. We spend a lot of time staring at data that isn’t actionable. Revenue has dipped. So what?
3. We’re looking at all the reports we’re supposed to (user activation, retention) but we don’t know how to interpret the data. Is this good, or bad? What action should we take next?
In this 4-video series, I’ll outline four common metrics or charts I use in my day-to-day work, and how I derive actionable insights from them. I’ll also give you a little peek into the product analytics tech stack I use for B2B startups.
Video 1. User or account-level activation (this video!)
Video 2. Detailed onboarding funnels
Video 3. User or account-level retention
Video 4. Feature adoption and retention